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X Demographics
Mendeley readers
Attention Score in Context
| Title |
HAMdb: a database of human autophagy modulators with specific pathway and disease information
|
|---|---|
| Published in |
Journal of Cheminformatics, July 2018
|
| DOI | 10.1186/s13321-018-0289-4 |
| Pubmed ID | |
| Authors |
Ning-Ning Wang, Jie Dong, Lin Zhang, Defang Ouyang, Yan Cheng, Alex F. Chen, Ai-Ping Lu, Dong-Sheng Cao |
| Abstract |
Autophagy is an important homeostatic cellular recycling mechanism responsible for degrading unnecessary or dysfunctional cellular organelles and proteins in all living cells. In addition to its vital homeostatic role, this degradation pathway also involves in various human disorders, including metabolic conditions, neurodegenerative diseases, cancers and infectious diseases. Therefore, the comprehensive understanding of autophagy process, autophagy-related modulators and corresponding pathway and disease information will be of great help for identifying the new autophagy modulators, potential drug candidates, new diagnostic and therapeutic targets. In recent years, some autophagy databases providing structural and functional information were developed, but the specific databases covering autophagy modulator (proteins, chemicals and microRNAs)-related target, pathway and disease information do not exist. Hence, we developed an online resource, Human Autophagy Modulator Database (HAMdb, http://hamdb.scbdd.com ), to provide researchers related pathway and disease information as many as possible. HAMdb contains 796 proteins, 841 chemicals and 132 microRNAs. Their specific effects on autophagy, physicochemical information, biological information and disease information were manually collected and compiled. Additionally, lots of external links were available for more information covering extensive biomedical knowledge. HAMdb provides a user-friendly interface to query, search, browse autophagy modulators and their comprehensive related information. HAMdb will help researchers understand the whole autophagy process and provide detailed information about related diseases. Furthermore, it can give hints for the identification of new diagnostic and therapeutic targets and the discovery of new autophagy modulators. In a word, we hope that HAMdb has the potential to promote the autophagy research in pharmacological and pathophysiological area. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 29% |
| Student > Master | 5 | 13% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Bachelor | 2 | 5% |
| Lecturer | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 12 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 8% |
| Agricultural and Biological Sciences | 3 | 8% |
| Medicine and Dentistry | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 15 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 August 2018.
All research outputs
#14,574,585
of 23,342,092 outputs
Outputs from Journal of Cheminformatics
#734
of 862 outputs
Outputs of similar age
#186,554
of 330,434 outputs
Outputs of similar age from Journal of Cheminformatics
#17
of 18 outputs
Altmetric has tracked 23,342,092 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 862 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.